Tootfinder

One Patch to Caption Them All: A Unified Zero-Shot Captioning Framework
Lorenzo Bianchi, Giacomo Pacini, Fabio Carrara, Nicola Messina, Giuseppe Amato, Fabrizio Falchi
https://arxiv.org/abs/2510.02898 …

One Patch to Caption Them All: A Unified Zero-Shot Captioning Framework
Zero-shot captioners are recently proposed models that utilize common-space vision-language representations to caption images without relying on paired image-text data. To caption an image, they proceed by textually decoding a text-aligned image feature, but they limit their scope to global representations and whole-image captions. We present \frameworkName{}, a unified framework for zero-shot captioning that shifts from an image-centric to a patch-centric paradigm, enabling the captioning of a…

🇺🇦 #NowPlaying on KEXP's #MorningShow
fIREHOSE:
🎵 Brave Captain
#fIREHOSE
https://narnackrecords.bandcamp.com/track/brave-captain-firehose
https://open.spotify.com/track/3RD6AMDIgly2CO5nrqUnmc

From Contrast to Commonality: Audio Commonality Captioning for Enhanced Audio-Text Cross-modal Understanding in Multimodal LLMs
Yuhang Jia, Xu Zhang, Yong Qin
https://arxiv.org/abs/2508.01659

From Contrast to Commonality: Audio Commonality Captioning for Enhanced Audio-Text Cross-modal Understanding in Multimodal LLMs
Audio Captioning (AC) plays a pivotal role in enhancing audio-text cross-modal understanding during the pretraining and finetuning of multimodal large language models (MLLMs). To further strengthen this alignment, recent works have proposed Audio Difference Captioning (ADC), which takes multiple audio inputs and encourages the model to describe their differences, thereby promoting fine-grained audio discrimination. However, despite its effectiveness in enabling difference-telling and detailed d…

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Cupidon feat. Milaa:
🎵 Feel It
#NowPlaying #Cupidon #Milaa
https://subreachers.bandcamp.com/track/cupidon-milaa-feel-it-subreachers-jungle-bootleg
https://open.spotify.com/track/5qKEArG4jwMAYTAsuG4rpH

🤯 Interpretable EEG-to-Image Generation with Semantic Prompts
#eeg #ai

Interpretable EEG-to-Image Generation with Semantic Prompts
Decoding visual experience from brain signals offers exciting possibilities for neuroscience and interpretable AI. While EEG is accessible and temporally precise, its limitations in spatial detail hinder image reconstruction. Our model bypasses direct EEG-to-image generation by aligning EEG signals with multilevel semantic captions -- ranging from object-level to abstract themes -- generated by a large language model. A transformer-based EEG encoder maps brain activity to these captions through…

Miles Davis and Captain Beefheart. Shooting Hoops in Heaven

Aesthetic Image Captioning with Saliency Enhanced MLLMs
Yilin Tao, Jiashui Huang, Huaze Xu, Ling Shao
https://arxiv.org/abs/2509.04378 https://arxiv.org/pd…

Aesthetic Image Captioning with Saliency Enhanced MLLMs
Aesthetic Image Captioning (AIC) aims to generate textual descriptions of image aesthetics, becoming a key research direction in the field of computational aesthetics. In recent years, pretrained Multimodal Large Language Models (MLLMs) have advanced rapidly, leading to a significant increase in image aesthetics research that integrates both visual and textual modalities. However, most existing studies on image aesthetics primarily focus on predicting aesthetic ratings and have shown limited ap…

Hill not among Fins' captains following apology https://www.espn.com/nfl/story/_/id/46128469/tyreek-hill-not-dolphins-captains-offseason-apology

@… I just came across this and thought I’d check with you to see if it’s accurate, instead of just shitposting it like I usually do with stuff.

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Cheap Wedding:
🎵 Anarchy
#NowPlaying #CheapWedding
#newRelease 🆕 single
https://open.spotify.com/track/1cfggYZAckpJjMdGECPGIK